Michael Muller, Anna Kantosalo, et al.
CHI 2024
This paper describes our recent improvements to IBM TRANSTAC speech-to-speech translation systems that address various issues arising from dealing with resource-constrained tasks, which include both limited amounts of linguistic resources and training data, as well as limited computational power on mobile platforms such as smartphones. We show how the proposed algorithms and methodologies can improve the performance of automatic speech recognition, statistical machine translation, and text-to-speech synthesis, while achieving low-latency two-way speech-to-speech translation on mobiles. © 2011 Elsevier Ltd. All rights reserved.
Michael Muller, Anna Kantosalo, et al.
CHI 2024
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CHI 1986
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CSCW 2012
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